This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Kristianstad University
Deep learning
The course deals with: · artificial neural networks · deep vs. shallow neural networks · training neural networks · characterising the performance of artificial neural networks · convolutional neural networks (CNNs) · recurrent neural networks (RNNs) · reinforcement learning using neural networks · programming neur…
- Higher education
- Information unavailable
- 10 November 2025
- Information unavailable
- Information unavailable
- 50 %
Overview
The course deals with: · artificial neural networks · deep vs. shallow neural networks · training neural networks · characterising the performance of artificial neural networks · convolutional neural networks (CNNs) · recurrent neural networks (RNNs) · reinforcement learning using neural networks · programming neural networks · autoencoders · ethical aspects
Admission scores
Entry requirements
A minimum of 135 credits including 60 credits in computer sciene, programming 22,5 credits, mathematics 22,5 credits and English 6 or equivalent or the equivalent
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2025-11-10
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hkr.da603a.09fb8.20252
- Last checked
- 2026-09-23T10:37:43.911976+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.hkr.da603a.09fb8.20252
- Offering identity in the source
- e.uoh.hkr.da603a.09fb8.20252
- Education-form source code
- HS
- Education code in the source
- DA603A
- Change time according to the source
- 2025-05-28T10:50:12
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.